vgam-class(VGAM)
vgam-class()所属R语言包：VGAM
Class “vgam”
类“vgam”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Vector generalized additive models.
向量广义添加剂模型。
类对象----------Objects from the Class----------
Objects can be created by calls of the form vgam(...).
可以创建对象通过调用的形式vgam(...)。
插槽----------Slots----------
nl.chisq: Object of class "numeric".
nl.chisq：对象的类"numeric"。
nl.df: Object of class "numeric".
nl.df：对象的类"numeric"。
spar: Object of class "numeric"
spar：对象类"numeric"的
s.xargument: Object of class "character"
s.xargument：对象类"character"的
var: Object of class "matrix" holding
var：类的对象"matrix"控股
Bspline: Object of class "list" holding the scaled (internal and boundary) knots, and the fitted B-spline coefficients. These are used
Bspline：类的对象"list"的规模（内部和边界）节，装B样条系数。这些都是用于
extra: Object of class "list"; the extra argument on entry to vglm. This contains any extra information that might be needed
extra：对象的类"list"参数进入extra vglm。这包含任何可能需要的额外信息，
family: Object of class "vglmff".
family：对象的类"vglmff"。
iter: Object of class "numeric".
iter：对象的类"numeric"。
predictors: Object of class "matrix"
predictors：对象类"matrix"的
assign: Object of class "list", from class "vlm". This named list gives information matching the columns and the (LM) model matrix terms.
assign：类的对象"list"，从类 "vlm"。此命名表提供的信息相匹配的列（LM）模型矩阵条款。
call: Object of class "call", from class "vlm". The matched call.
call：类的对象"call"，从类 "vlm"。匹配的呼叫。
coefficients: Object of class "numeric", from class "vlm". A named vector of coefficients.
coefficients：类的对象"numeric"，从类 "vlm"。一个命名的系数向量。
constraints: Object of class "list", from class "vlm". A named list of constraint matrices used in the fitting.
constraints：类的对象"list"，从类 "vlm"。装修中使用的命名列表的约束矩阵。
contrasts: Object of class "list", from class "vlm". The contrasts used (if any).
contrasts：类的对象"list"，从类 "vlm"。对比（如果有的话）。
control: Object of class "list", from class "vlm". A list of parameters for controlling the fitting process. See vglm.control for details.
control：类的对象"list"，从类 "vlm"。控制装修过程中的参数列表。见vglm.control的详细信息。
criterion: Object of class "list", from class "vlm". List of convergence criterion evaluated at the final IRLS iteration.
criterion：类的对象"list"，从类 "vlm"。列表在最后IRLS迭代收敛标准评估。
df.residual: Object of class "numeric", from class "vlm". The residual degrees of freedom.
df.residual：类的对象"numeric"，从类 "vlm"。残余的自由度。
df.total: Object of class "numeric", from class "vlm". The total degrees of freedom.
df.total：类的对象"numeric"，从类 "vlm"。总自由度。
dispersion: Object of class "numeric", from class "vlm". The scaling parameter.
dispersion：类的对象"numeric"，从类 "vlm"。缩放参数。
effects: Object of class "numeric", from class "vlm". The effects.
effects：类的对象"numeric"，从类 "vlm"。效果。
Object of class "matrix", from class "vlm". The fitted values. This is usually the mean but may be quantiles, or the location parameter, e.g., in the Cauchy model.
对象的类"matrix"，从类 "vlm"中。拟合值。这是通常的意思，但可能会位数，或位置参数，例如，在柯西模型。
misc: Object of class "list", from class "vlm". A named list to hold miscellaneous parameters.
misc：类的对象"list"，从类 "vlm"。命名的以持有杂项参数。
model: Object of class "data.frame", from class "vlm". The model frame.
model：类的对象"data.frame"，从类 "vlm"。该模型框架。
na.action: Object of class "list", from class "vlm". A list holding information about missing values.
na.action：类的对象"list"，从类 "vlm"。遗漏值的列表信息。
offset: Object of class "matrix", from class "vlm". If non-zero, a M-column matrix of offsets.
offset：类的对象"matrix"，从类 "vlm"。如果不为零，M列的矩阵的偏移量。
post: Object of class "list", from class "vlm" where post-analysis results may be put.
post：类的对象"list"，从类 "vlm"可以放在分析结果。
preplot: Object of class "list", from class "vlm" used by plotvgam; the plotting parameters may be put here.
preplot：类的对象"list"，从类 "vlm"使用plotvgam;绘图参数可以放在这里。
prior.weights: Object of class "matrix", from class "vlm" holding the initially supplied weights.
prior.weights：类的对象"matrix"，从类 "vlm"最初提供的重量。
qr: Object of class "list", from class "vlm". QR decomposition at the final iteration.
qr：类的对象"list"，从类 "vlm"。在最后一次迭代的QR分解。
R: Object of class "matrix", from class "vlm". The R matrix in the QR decomposition used in the fitting.
R：类的对象"matrix"，从类 "vlm"。 R矩阵的QR分解的装配中使用的。
rank: Object of class "integer", from class "vlm". Numerical rank of the fitted model.
rank：类的对象"integer"，从类 "vlm"。拟合模型的数值等级。
residuals: Object of class "matrix", from class "vlm". The working residuals at the final IRLS iteration.
residuals：类的对象"matrix"，从类 "vlm"。在最后IRLS迭代工作残差。
rss: Object of class "numeric", from class "vlm". Residual sum of squares at the final IRLS iteration with the adjusted dependent vectors and weight matrices.
rss：类的对象"numeric"，从类 "vlm"。在最终IRLS与调整后的依赖向量和权重矩阵的迭代平方的残差平方和。
smart.prediction: Object of class "list", from class "vlm". A list of data-dependent parameters (if any) that are used by smart prediction.
smart.prediction：类的对象"list"，从类 "vlm"。数据相关的参数列表（如果有的话）所使用的智能预测。
terms: Object of class "list", from class "vlm". The terms object used.
terms：类的对象"list"，从类 "vlm"。 terms对象。
weights: Object of class "matrix", from class "vlm". The weight matrices at the final IRLS iteration. This is in matrix-band form.
weights：类的对象"matrix"，从类 "vlm"。在最后IRLS迭代的权重矩阵。这是在矩阵带的形式。
x: Object of class "matrix", from class "vlm". The model matrix (LM, not VGLM).
x：类的对象"matrix"，从类 "vlm"。模型矩阵（LM，不VGLM的）。
xlevels: Object of class "list", from class "vlm". The levels of the factors, if any, used in fitting.
xlevels：类的对象"list"，从类 "vlm"。水平的因素，如果没有，使用接头。
y: Object of class "matrix", from class "vlm". The response, in matrix form.
y：类的对象"matrix"，从类 "vlm"。的响应，以矩阵形式。
Xm2: Object of class "matrix", from class "vlm". See vglm-class).
Xm2：类的对象"matrix"，从类 "vlm"。见vglm-class）。
Ym2: Object of class "matrix", from class "vlm". See vglm-class).
Ym2：类的对象"matrix"，从类 "vlm"。见vglm-class）。
Object of class "call", from class "vlm". The matched call for argument form2.
对象的类"call"，从类 "vlm"中。参数form2匹配的呼叫。
扩展----------Extends----------
Class "vglm", directly. Class "vlm", by class "vglm".
类"vglm"，直接。类"vlm"，的类"vglm"的。
方法----------Methods----------
cdf signature(object = "vglm"): cumulative distribution function.
CDFsignature(object = "vglm")：累积分布函数。
deplot signature(object = "vglm"): density plot.
deplotsignature(object = "vglm")：密度图。
deviance signature(object = "vglm"):
越轨行为signature(object = "vglm")：
plot signature(x = "vglm"):
图signature(x = "vglm")：
predict signature(object = "vglm"): extract the additive predictors or
预测signature(object = "vglm")：提取的添加剂的预测，
print signature(x = "vglm"):
打印signature(x = "vglm")：
qtplot signature(object = "vglm"):
qtplotsignature(object = "vglm")：
resid signature(object = "vglm"):
渣油signature(object = "vglm")：
residuals signature(object = "vglm"):
残差signature(object = "vglm")：
rlplot signature(object = "vglm"): return level plot.
rlplot的signature(object = "vglm")：返回级的主线图。
summary signature(object = "vglm"):
总结signature(object = "vglm")：
注意----------Note----------
VGAMs have all the slots that vglm objects have (vglm-class), plus the first few slots described in the section above.
VGAMs所有的插槽，vglm对象（vglm-class），再加上上面一节中所描述的几个插槽。
（作者）----------Author(s)----------
Thomas W. Yee
参考文献----------References----------
Vector generalized additive models. Journal of the Royal Statistical Society, Series B, Methodological, 58, 481–493.
参见----------See Also----------
vgam.control, vglm, s, vglm-class, vglmff-class.
vgam.control，vglm，s，vglm-class，vglmff-class。
实例----------Examples----------
# Fit a nonparametric proportional odds model[适合的非参数比例优势模型]
pneumo = transform(pneumo, let = log(exposure.time))
vgam(cbind(normal, mild, severe) ~ s(let),
cumulative(parallel = TRUE), pneumo)
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注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
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发表于 2012-10-1 15:56:26
